id | amount | age | sex | ins_type | speciality | treatments | types | target | |
---|---|---|---|---|---|---|---|---|---|
0 | ID_221227 | 2.68 | 44.609818 | 1 | 1 | 1 | ['A_852'] | ['AA_13'] | 0 |
1 | ID_188617 | 67.70 | 58.471695 | 1 | 1 | 1 | ['A_645', 'A_2030', 'A_1978'] | ['AA_2', 'AA_7', 'AA_2'] | 0 |
2 | ID_184107 | 21.44 | 48.003800 | 1 | 1 | 1 | ['A_1656', 'A_1'] | ['AA_2', 'AA_2'] | 0 |
3 | ID_327112 | 26.80 | 60.127670 | 0 | 1 | 1 | ['A_1', 'A_348', 'A_1656'] | ['AA_2', 'AA_12', 'AA_2'] | 0 |
demanstrative_data.csv
file - example of an used data
Meaning of the columns:
id
- patient idamount
- the total billable amountage
- patient agesex
- patient sexins_type
- insurance typespeciality
- doctor specialtytreatments
- a sequence of treatments encoded with anonymized IDstypes
- corresponding types of treatmentstarget
- label ("fraudulent" coded as 1 and "non-fraudulent" coded as 0)